tag: ML

Power Models For Machine Learning
By Brian Bailey - 14 Dec, 2020 - Comments: 1

AI and machine learning are being designed into just about everything, but the chip industry lacks sufficient tools to gauge how much power and energy an algorithm is using when it runs on a particular hardware platform. The missing information is a serious limiter for energy-sensitive devices. As the old maxim goes, you can't optimize what you can't measure. Today, the focus is on functiona... » read more

Infrastructure Impacts Data Analytics
By Anne Meixner - 08 Dec, 2020 - Comments: 2

Semiconductor data analytics relies upon timely, error-free data from the manufacturing processes, but the IT infrastructure investment and engineering effort needed to deliver that data is, expensive, enormous, and still growing. The volume of data has ballooned at all points of data generation as equipment makers add more sensors into their tools, and as monitors are embedded into the chip... » read more

Transforming Vision Inspection With Machine Learning
By Optimal Plus - 07 Dec, 2020 - Comments: 0

How auto-manufacturers can apply ML & AI algorithms to enhance image analytics on their factory floor and to ensure higher product quality? Discover the next generation visual inspection in our new case study. In this case study , you will learn about: Current limitations of image inspection in the manufacturing industry. The O+ end-to-end solution, which brings machine learning and... » read more

Using AI And Bugs To Find Other Bugs
By Ann Mutschler - 24 Nov, 2020 - Comments: 0

Debug is starting to be rethought and retooled as chips become more complex and more tightly integrated into packages or other systems, particularly in safety- and mission-critical applications where life expectancy is significantly longer. Today, the predominant bug-finding approaches use the ubiquitous constrained random/coverage driven verification technology, or formal verification techn... » read more

The Expanding Universe Of MIPI Applications
By Joseph Rodriguez - 12 Nov, 2020 - Comments: 0

It’s hard to imagine today, but there was a time when mobile phones had no cameras and displays were tiny monochrome LCDs capable of displaying a phone number and not much more. The iconic Nokia 3310 announced Sept. 1, 2000, had an 84 x 48 pixel monochrome display and went on to sell 126 million units worldwide. You may still have one in your junk drawer. By the time of the original iPhone... » read more

Blog Review: Oct. 14
By Jesse Allen - 14 Oct, 2020 - Comments: 0

Arm's Hongsup Shin explains a machine learning application that can determine which tests are most likely to find hardware bugs, improving efficiency and reducing the number of tests that need to be run. Synopsys' Pieter van der Wolf and Dmitry Zakharov take a look at the increasing need for low power processors optimized for machine learning tasks as IoT, smart home, and wearable devices pr... » read more

Reliability Over Time And Space
By Ed Sperling - 13 Oct, 2020 - Comments: 0

The demand for known good die is well understood as multi-chip packages are used in safety-critical and mission-critical applications, but that alone isn't sufficient. As chips are swapped in and out of packages to customize them for specific applications, it will be the entire module that needs to be verified, simulated and tested, and analyzed. This is more complicated than it sounds for s... » read more

One More Time: TOPS Do Not Predict Inference Throughput
By Geoff Tate - 08 Oct, 2020 - Comments: 0

Many times you’ll hear vendors talking about how many TOPS their chip has and imply that more TOPS means better inference performance. If you use TOPS to pick your AI inference chip, you will likely not be happy with what you get. Recently, Vivienne Sze, a professor at MIT, gave an excellent talk entitled “How to Evaluate Efficient Deep Neural Network Approaches.” Slides are also av... » read more

Good Vs. Bad Acquisitions
By Ed Sperling - 07 Oct, 2020 - Comments: 0

M&A activity is beginning to heat up across the semiconductor industry, fueled by high market caps, low interest rates, and a slew of startups with innovative technology and limited market reach. Some of these deals are gigantic, such as the pending acquisition of Arm by Nvidia, and the proposed purchase of Maxim Integrated by Analog Devices. Others are more modest, such as Arteris IP's ... » read more

Deals That Change The Chip Industry
By Ed Sperling - 28 Sep, 2020 - Comments: 0

Nvidia's pending $40 billion acquisition of Arm is expected to have a big impact on the chip world, but it will take years before the effects of this deal are fully understood. More such deals are expected over the next couple of years due to several factors — there is a fresh supply of startups with innovative technology, interest rates are low, and market caps and stock prices of buyers ... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2024 SMG   |  Terms of Service  |  Privacy Policy